Analysis on the forest land use efficiency changes based on forest resource inventory data

doi:10.12302/j.issn.1000-2006.202103017

JOURNAL OF NANJING FORESTRY UNIVERSITY ›› 2022, Vol. 46 ›› Issue (5): 213-220.doi: 10.12302/j.issn.1000-2006.202103017

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Analysis on the forest land use efficiency changes based on forest resource inventory data

XU Enyin¹(), NIE Ying¹^,²^,^*(), RUI Xiaodong²

1. College of Economic and Management, Nanjing Forestry University, Nanjing 210037, China
2. College of Business, Jinling Institute of Technology, Nanjing 211169, China

Received:2021-03-08 Revised:2021-04-29 Online:2022-09-30 Published:2022-10-19
Contact: NIE Ying E-mail:xuenyin@njfu.edu.cn;ynieh@njfu.edu.cn

Abstract

Abstract:

【Objective】Quantitative analysis of the difference in forest land use efficiency and its eco-economic impact in important forest regions of China can provide a reference for formulating forest resource management measures. 【Method】From the perspective of changes in forest resources, combined with the four attributes of forest area, volume, biomass, and carbon storage, and using forest inventory data for China from 1989 to 2018, the changes in forest land use efficiency in the southern and southwest forest regions are quantitatively analyzed at the forest area and provincial scales. 【Result】During the study period, carbon storage in the southern forest region increases by 1.17 Pg, and the annual change rates for the forest area, volume density, biomass ratio, carbon storage are 1.91%, 2.07%, 0.40%, and 4.38%, respectively. The carbon storage in the southwest forest region increased by 0.95 Pg, and the annual change rates of these attributes are 1.79%, 0.07%, -0.05%, and 1.81%, respectively. The volume has increased for all the provinces, among which Shanghai, Jiangsu, Guizhou, and Tibet have the highest relative contribution. However, the unbalanced growth rate of forest area and volume density (volume per unit area) in Fujian and Hainan will influence the later development, while the decline in the volume density in Yunnan and Tibet will lead to slow growth in volume. Forests in all provinces play a key role in carbon sequestration, with the advantages of carbon sequestration being more prominent in the southern forest region, and especially in Shanghai and Jiangsu. The carbon sequestration capacity for the three provinces in the southwest forest region is at a relatively slow development level.【Conclusion】To improve forest land use efficiency, the government should increase investment and continue to implement the Grain-to-Green Program, while improving the compensation standard and the time limit. Afforestation and reforestation projects and fast-growing forest projects should continue to be actively developed in key areas, to give full play to the advantages of rapid growth of plantations and a stable increase in the carbon sink capacity over longer time scales. For natural forests with an unsuitable age structure, sustainable management should be undertaken to artificially promote the regeneration ability of over-mature forests to improve the decline in volume density and encourage forestry to maximize its carbon sequestration potential.

Key words: forest land use efficiency, forest resource, valuable attributes, forest region, carbon sink

CLC Number:

S718
S757

XU Enyin, NIE Ying, RUI Xiaodong. Analysis on the forest land use efficiency changes based on forest resource inventory data[J]. JOURNAL OF NANJING FORESTRY UNIVERSITY, 2022, 46(5): 213-220.

Figures/Tables 5

Table 1

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References 39

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林区 forest region	年份 years	森林面积/ ×10⁶ hm² forest area	蓄积密度/ (m³·hm^-2) volume density	生物量转换比/ (Mg·m^-3) biomass ratio	碳储量/ Pg carbon storage
南方 southern	1989—1993	38.04	41.90	0.78	0.62
	1994—1998	44.90	40.14	0.76	0.68
	1999—2003	48.10	48.41	0.74	0.86
	2004—2008	52.77	54.30	0.80	1.14
	2009—2013	57.21	58.60	0.82	1.38
	2014—2018	62.94	67.27	0.84	1.79
西南 southwest	1989—1993	24.91	158.97	0.91	1.80
	1994—1998	27.87	142.92	0.91	1.82
	1999—2003	33.01	156.26	0.91	2.34
	2004—2008	34.79	155.07	0.90	2.43
	2009—2013	35.58	158.40	0.90	2.54
	2014—2018	39.88	153.37	0.90	2.75

Analysis on the forest land use efficiency changes based on forest resource inventory data

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